QSAR Comparative Study of Wiener Descriptors for Weighted Molecular Graphs

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Machine learning of molecular electronic properties in chemical compound space (2013, background): “While there is a wide variety of descriptors used in chem- and bio-informatics applications [23–27], they are conventionally based on”
Bounds on Harary index (2009, background): “The Harary index and related molecular descriptors have shown amodest success in structure–property correlations [8–12], but their use in combination with other molecular descriptors improves the correlations (e.”
On Harary index (2008, background): “The Harary index and related molecular descriptors have shown a modest success in structure-property correlations [11–15], but their use in combination with other molecular descriptors improves the correlations (e.”
The Use of Topological Indices in QSAR and QSPR Modeling (2017, methodology): “Dearden et al. (1995) were able to make mechanistic interpretations of their results, concluding that the nitrobenzenes were behaving as pro-electrophiles, whilst Ivanciuc (2000) was unable to do so, as the Wiener descriptors yield little or no mechanistic information.”
A Survey on Graphs Extremal with Respect to Distance-Based Topological Indices (2014, background): “[88, 90] introduced the this topological index, defined it as:”